Research on self-adaptive de-noising technique for rotor faults signal based on wavelet analysis

In the current research on wavelet de-noising for rotor faults signal,the denoising effect often depends on the decomposing layer number,rotor rotating speed and signal sampling frequency.But,the de-noising process can not be realized automatically.For this reason,a new self-adaptive de-noising method for rotor fault signal was developed.Firstly,original data was re-sampled,secondly,re-sampled signal was decomposed to given layer number,finally,de-noising was achieved by Donoho soft threshold method.The de-noising process can be performed automatically without manual selection of decomposing layer number.Anumber of examples from simulation and experiments verify the efficiency of this new method.